Overview

Join to apply for the

Senior Data & Analytics Engineer

role at

Wagepoint . This range is provided by Wagepoint. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

CA$115,000.00/yr - CA$150,000.00/yr Who We Are: At Wagepoint, we’re good people. We’re a diverse team who bring our backgrounds, ideas, experiences and cultures together to make payroll magic. We serve thousands of small business owners across Canada who rely on our payroll software to pay their employees and process their payroll taxes. We’re growing and looking for more awesome people to join our team. We share a commitment to our customers and to delivering high-impact work. Wagepoint is a remote company and values collaboration, accountability and continuous learning. If you are the kind of person who has always wanted to make a difference and be heard at work, Wagepoint will give you plenty of opportunity to do just that. The Role at a Glance

We’re looking for a talented

Senior Data & Analytics Engineer

who tackles complex data challenges and builds scalable, high-performance data systems. You’ll shape how Wagepoint collects, transforms, and visualizes data to drive smarter business decisions across the organization. You’ll design and implement data pipelines, architect analytical dashboards, and ensure our data systems are fast, reliable, and secure. You’ll report directly to our Engineering leadership team and collaborate with Analytics, Product, and Business Intelligence partners. What You'll Be Expected To Own:

Design, develop, and optimize scalable, cloud-native data pipelines capable of processing millions of records per day. Build automated

ETL/ELT





workflows and validation layers that ensure high data quality and minimal manual intervention. Develop and maintain

data models, data lakes, and warehouses

(primarily in Azure) that support analytics, BI, and AI/ML workloads. Create and optimize

analytical dashboards and reports

in Power BI or Tableau, ensuring rapid query performance and low-latency reporting. Standardize and document data definitions, maintain an up-to-date

data dictionary , and ensure consistency across all sources. Monitor and tune data workflows, improving efficiency and scalability. Implement robust

data validation frameworks

and real-time monitoring to identify and resolve quality issues at the source. Partner cross-functionally with data scientists, analysts, and engineers to deliver accessible, trusted data that supports business needs. What You Bring To The Table:

7+ years of experience in

data engineering, ETL/ELT development, and analytics reporting . Proven expertise in tools such as

Apache Airflow, dbt, Spark, Databricks, Snowflake, and Kafka . Advanced proficiency in

Python and SQL

for data transformation and analysis. Strong experience working with

cloud platforms (especially Azure)

— Data Lake, Synapse, CosmosDB, etc. Deep understanding of

data modeling, warehousing, and scalable architecture .



Experience with

containerization and CI/CD

(Docker, Kubernetes). Strong grasp of

data governance, security best practices , and compliance frameworks. Demonstrated ability to design for

monitoring, testing automation, and operational excellence . Experience supporting

BI tools

like Power BI, Tableau, or D3.js. Exceptional troubleshooting, problem-solving, and optimization skills. You’ve implemented or scaled

real-time data pipelines

for analytics or AI/ML. You’re passionate about

data automation, observability, and quality frameworks . You’ve built

metadata repositories or data lineage systems . You thrive in cross-functional environments and love enabling

self-serve analytics

for non-technical users. You’re a Power BI or Tableau guru who enjoys designing visually engaging and performant dashboards. What We Bring To The Table:

Impact:

Roll up your sleeves and directly contribute to the growth and success of Wagepoint by shaping our workforce. Culture:

The opportunity to work with the world’s friendliest team, solving interesting problems together with an endless amount of laughter (We work hard, but we always have time for a bad joke or two). Growth:

Opportunities for professional development and career advancement - we are always, always learning with a growth oriented mindset. Innovation:

Work in an environment that encourages creativity and new ideas. Remote:

The ability to work from home, forever Wagepoint is a remote company, so you don’t have to worry about commuting to an office. Plus, more time with your pets is always a bonus Ready to embark on a

📌 Senior Data (Winnipeg)
🏢 Wagepoint
📍 Winnipeg